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Afternoon Data Analyst R Programming Jobs in Stone Mountain, GA

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA · On-site

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a ... Experience with both SQL and graph databases. Strong programming skills in Python or Java.

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA · On-site +1

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage ...

ProArch

Data Analyst/PowerBI Engineer

Atlanta, GA · Remote

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage ...

4pconsultinginc

Data Analytics Analyst III

Atlanta, GA · On-site

SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL ... Experience with Python or R for data transformation. * Knowledge of: * Data governance * Metadata ...

brs

Data Manager

Atlanta, GA

... programming and 3+ years in data management including analyzing/manipulating data from large relational databases of longitudinal data. Knowledge and understanding of Python and R programming is ...

Bristol Bay Native Corporation

Data Manager

Atlanta, GA · On-site

... programming and 3+ years in data management including analyzing/manipulating data from large relational databases of longitudinal data. Knowledge and understanding of Python and R programming is ...

Home Depot

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex ... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

$52.37 - $65.06/hr

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

Home Depot

Sr. Data Analyst - BI Transportation

Atlanta, GA · On-site

$81K - $103K/yr

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex ... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building ...

BBNC

Data Manager

Atlanta, GA · On-site

... programming and 3+ years in data management including analyzing/manipulating data from large relational databases of longitudinal data. Knowledge and understanding of Python and R programming is ...

Home Depot

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex ... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

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Showing results 41-60

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Stone Mountain, GA

Afternoon Data Analyst R Programming information

See Stone Mountain, GA salary details

$30.8K

$74.8K

$123K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Stone Mountain, GA is $74,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,800.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Stone Mountain, GA?

For Afternoon Data Analyst R Programming jobs in Stone Mountain, GA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Stone Mountain, GA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Stone Mountain, GA are:

What cities near Stone Mountain, GA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Stone Mountain, GA with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Stone Mountain, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,761 per year, or $35.9 per hour.

Data Analyst/PowerBI Engineer

ProArch

Atlanta, GA • On-site

Full-time

Re-posted 10 days ago

Job description

ProArch is looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage your expertise in Power BI and data analysis techniques to transform complex data into clear and compelling visualizations and reports. You'll work closely with stakeholders to understand their analytics needs and provide solutions that support informed decision-making.

Key Responsibilities:

  • Design, develop, and maintain interactive dashboards and reports using Power BI and Fabric workspaces
  • Conduct data analysis to identify trends, patterns, and insights that inform business strategies
  • Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions
  • Ensure data accuracy and integrity by implementing quality control processes
  • Assist in presenting findings and recommendations to stakeholders through effective storytelling
  • Stay current with industry trends and best practices in data analytics and Power BI

Requirements

To be successful in this role, you should have:

  • Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics)
  • Proven experience in data analysis and visualization, with a strong focus on Power BI
  • Strong knowledge of SQL for data querying and manipulation
  • Experience with data modeling and ETL processes
  • Excellent analytical and problem-solving skills
  • Ability to communicate complex data insights clearly to both technical and non-technical audiences
  • Proficiency in Microsoft Excel and other data analysis tools
  • A proactive mindset with a focus on continuous improvement and learning

Benefits

NA

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